239 search results - page 30 / 48 » Combining genetic algorithms with squeaky-wheel optimization |
CVIU
2011
12 years 11 months ago
2011
Abstract—In this paper, three approaches to utilizing objectlevel spatial contextual information for semantic image analysis are presented and comparatively evaluated. Contextual...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
This paper presents an efficient hybrid feature selection model based on Support Vector Machine (SVM) and Genetic Algorithm (GA) for large healthcare databases. Even though SVM an...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
PRL
2007
13 years 7 months ago
2007
: We propose a new feature selection strategy based on rough sets and Particle Swarm Optimization (PSO). Rough sets has been used as a feature selection method with much success, b...
EOR
2008
13 years 7 months ago
2008
We suggest a new heuristic for solving unconstrained continuous optimization problems. It is based on a generalized version of the variable neighborhood search metaheuristic. Diff...